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Report on Bio Statistics Data of Smoking

   

Added on  2020-04-07

5 Pages548 Words70 Views
Running Head: BIO-STATISTICSBio-StatisticsName of StudentInstitutional AffiliationName of ProfessorDate

BIO-STATISTICSQ1. The missing word is Normal.Q2. As represented by the smoking status analysis data, 41 individuals from the samplecollection are current smokers which is 20.50% while 53 individuals were former smokers whichmakes 26.50% and finally 106 individuals who vowed to have never smoked makes 53.0%.From the data frequency, the data tails off to the left which implies that the data is negativelyskewed. This factor applies true for the percentage of the respective frequencies as well as that ofthe cumulative frequency and the cumulative percentage. Skewness in statistics can be defined asa symmetry measure of a distribution about the mean of the real value of a random variable(Bezavov et al., 2017). Q.3 The age data depicts a distribution whereby the median lies almost in the middle of themaximum value and the minimum value. The minimum is 20 with the median as 46, and themaximum of the distribution is 88. This translates the same with the mean which lies betweenthe upper and the lower quartile. From this observation, we can say the age data is normallydistributed with a symmetric curve. On the other hand, the histogram of the frequency distribution shows that the data isnormally distributed. A different case for the same data is depicted by the Q-Q normal plot

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